pytorch - ✅(Solved) Fix Pytorch needs Kineto even when using USE_KINETO=OFF [1 pull requests, 1 comments, 1 participants]

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pytorch/pytorch#178939Fetched 2026-04-08 01:56:54
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Error Message

FAILED: [code=1] caffe2/CMakeFiles/torch_cpu.dir//torch/csrc/autograd/profiler_kineto.cpp.o /usr/lib/llvm/22/bin/clang++ -DAT_PER_OPERATOR_HEADERS -DCAFFE2_BUILD_MAIN_LIB -DGFLAGS_IS_A_DLL=0 -DGLOG_CUSTOM_PREFIX_SUPPORT -DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_POSIX_FALLOCATE=1 -DHAVE_SHM_OPEN=1 -DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx -DPROTOBUF_USE_DLLS -DROCM_VERSION=70200 -DTORCH_HIP_VERSION=702 -DUSE_DISTRIBUTED -DUSE_EXTERNAL_MZCRC -DUSE_LAYERNORM_FAST_RECIPROCAL -DUSE_ROCM -DUSE_RPC -D_FILE_OFFSET_BITS=64 -D__HIP_PLATFORM_AMD -Dtorch_cpu_EXPORTS -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0 -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/moodycamel -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/../aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/headeronly -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/miniz-3.0.2 -I/usr/include/kineto -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/c10/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/src -isystem /usr/include/eigen3 -isystem /usr/include/rocblas -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/INTERFACE -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/concurrentqueue -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2 -O2 -pipe -glldb -Wno-deprecated-declarations -Wno-unused-result -Wno-unused-value -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -DC10_NODEPRECATED -Wall -Wextra -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -fno-math-errno -fno-trapping-math -Werror=format -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION -fPIC -fcolor-diagnostics -Wall -Wextra -Wdeprecated -Wunused -Wno-unused-parameter -Wno-missing-field-initializers -Wno-array-bounds -Wno-unknown-pragmas -Wno-strict-overflow -Wno-strict-aliasing -Wmove -fvisibility=hidden -Wmissing-prototypes -Werror=missing-prototypes -fopenmp=libomp -MD -MT caffe2/CMakeFiles/torch_cpu.dir//torch/csrc/autograd/profiler_kineto.cpp.o -MF caffe2/CMakeFiles/torch_cpu.dir//torch/csrc/autograd/profiler_kineto.cpp.o.d -o caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o -c /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp:12: In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/collection.h:20: /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/kineto_shim.h:15:10: fatal error: 'ActivityType.h' file not found 15 | #include <ActivityType.h> | ^~~~~~~~~~~~~~~~ 1 error generated.

Fix Action

Fix / Workaround

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 48 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 32 On-line CPU(s) list: 0-31 Vendor ID: AuthenticAMD Model name: AMD RYZEN AI MAX+ 395 w/ Radeon 8060S CPU family: 26 Model: 112 Thread(s) per core: 2 Core(s) per socket: 16 Socket(s): 1 Stepping: 0 Frequency boost: enabled CPU(s) scaling MHz: 41% CPU max MHz: 5187.5000 CPU min MHz: 625.0000 BogoMIPS: 5990.82 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpuid_fault cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx_vnni avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid bus_lock_detect movdiri movdir64b overflow_recov succor smca fsrm avx512_vp2intersect flush_l1d amd_lbr_pmc_freeze Virtualization: AMD-V L1d cache: 768 KiB (16 instances) L1i cache: 512 KiB (16 instances) L2 cache: 16 MiB (16 instances) L3 cache: 64 MiB (2 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-31 Vulnerability Gather data sampling: Not affected Vulnerability Ghostwrite: Not affected Vulnerability Indirect target selection: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Old microcode: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Mitigation; IBPB on VMEXIT only Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB on VMEXIT

PR fix notes

PR #178960: profiler: fix USE_KINETO=OFF build failure (unconditional ActivityType.h include)

Description (problem / solution / changelog)

When building with USE_KINETO=OFF, kineto_shim.h was unconditionally including <ActivityType.h>, a Kineto-only header, causing a fatal compile error on systems where Kineto is not installed (e.g. Gentoo with system libraries instead of bundled third-party). The fix wraps the include in #ifdef USE_KINETO and provides a minimal stub enum so the data structures and function signatures referencing libkineto::ActivityType still compile without Kineto. Function bodies in kineto_shim.cpp and collection.cpp that reference specific enum values (CPU_OP, PYTHON_FUNCTION, etc.) are similarly guarded with safe no-op fallbacks in the #else paths.

Changed files

  • torch/csrc/autograd/init.cpp (modified, +1/-6)
  • torch/csrc/autograd/profiler_kineto.cpp (modified, +29/-16)
  • torch/csrc/autograd/profiler_kineto.h (modified, +1/-0)
  • torch/csrc/profiler/collection.cpp (modified, +8/-0)
  • torch/csrc/profiler/kineto_shim.cpp (modified, +14/-2)
  • torch/csrc/profiler/kineto_shim.h (modified, +14/-0)

Code Example

FAILED: [code=1] caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o 
/usr/lib/llvm/22/bin/clang++ -DAT_PER_OPERATOR_HEADERS -DCAFFE2_BUILD_MAIN_LIB -DGFLAGS_IS_A_DLL=0 -DGLOG_CUSTOM_PREFIX_SUPPORT -DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_POSIX_FALLOCATE=1 -DHAVE_SHM_OPEN=1 -DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx -DPROTOBUF_USE_DLLS -DROCM_VERSION=70200 -DTORCH_HIP_VERSION=702 -DUSE_DISTRIBUTED -DUSE_EXTERNAL_MZCRC -DUSE_LAYERNORM_FAST_RECIPROCAL -DUSE_ROCM -DUSE_RPC -D_FILE_OFFSET_BITS=64 -D__HIP_PLATFORM_AMD__ -Dtorch_cpu_EXPORTS -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0 -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/moodycamel -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/../aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/headeronly -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/miniz-3.0.2 -I/usr/include/kineto -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/c10/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/src -isystem /usr/include/eigen3 -isystem /usr/include/rocblas -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/INTERFACE -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/concurrentqueue -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2  -O2 -pipe -glldb -Wno-deprecated-declarations -Wno-unused-result -Wno-unused-value -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -DC10_NODEPRECATED -Wall -Wextra -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -fno-math-errno -fno-trapping-math -Werror=format -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION -fPIC -fcolor-diagnostics -Wall -Wextra -Wdeprecated -Wunused -Wno-unused-parameter -Wno-missing-field-initializers -Wno-array-bounds -Wno-unknown-pragmas -Wno-strict-overflow -Wno-strict-aliasing -Wmove -fvisibility=hidden -Wmissing-prototypes -Werror=missing-prototypes -fopenmp=libomp -MD -MT caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o -MF caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o.d -o caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o -c /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp
In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp:12:
In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/collection.h:20:
/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/kineto_shim.h:15:10: fatal error: 'ActivityType.h' file not found
   15 | #include <ActivityType.h>
      |          ^~~~~~~~~~~~~~~~
1 error generated.

---

--     USE_ROCM_CK_SDPA              : OFF
--     USE_ROCM_CK_GEMM              : ON
--     USE_LAYERNORM_FAST_RECIPROCAL : ON
--   BUILD_NVFUSER         : 
--   USE_EIGEN_FOR_BLAS    : 
--   USE_EIGEN_FOR_SPARSE  : OFF
--   USE_FBGEMM            : ON
--   USE_MSLK              : OFF
--   USE_KINETO            : no
--   USE_GFLAGS            : ON
--   USE_GLOG              : ON
--   USE_LITE_PROTO        : OFF
--   USE_PYTORCH_METAL     : OFF
--   USE_PYTORCH_METAL_EXPORT     : OFF
--   USE_MPS               : OFF
--   CAN_COMPILE_METAL     : 
--   USE_MKL               : 
--   USE_MKLDNN            : no
--   USE_PRIORITIZED_TEXT_FOR_LD : OFF
--   USE_UCC               : OFF
--   USE_ITT               : OFF
--   USE_XCCL              : OFF
--   USE_NCCL              : no
--   Found NVSHMEM         : 
--   USE_NNPACK            : no
--   USE_NUMPY             : ON
--   USE_OBSERVERS         : ON
--   USE_OPENCL            : no
--   USE_OPENMP            : yes
--   USE_MIMALLOC          : no
--   USE_VULKAN            : OFF
--   USE_PROF              : OFF
--   USE_PYTORCH_QNNPACK   : yes
--   USE_XNNPACK           : yes
--   USE_DISTRIBUTED       : yes
--     USE_MPI               : no
--     USE_GLOO              : no
--     USE_GLOO_WITH_OPENSSL : OFF
--     USE_GLOO_IBVERBS      : OFF
--     USE_TENSORPIPE        : no
--   Public Dependencies  : 
--   Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;pytorch_qnnpack;XNNPACK;microkernels-prod;fbgemm;fp16;caffe2::openmp;onnx_proto;onnx;rt;fmt;dl
--   Public CUDA Deps.    : 
--   Private CUDA Deps.   : 
--   USE_COREML_DELEGATE     : OFF
--   BUILD_LAZY_TS_BACKEND   : ON
--   USE_ROCM_KERNEL_ASSERT : OFF
RAW_BUFFERClick to expand / collapse

🐛 Describe the bug

Pytorch 2.10 and 2.11

I'm at Gentoo, so it prefers system libraries instead of bundled ones (kineto is removed from third_party to prioritize the local library)

Said that, I'm working on an optional Kineto feature for anyone who doesn't need it.

Please see this compilation error:

FAILED: [code=1] caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o 
/usr/lib/llvm/22/bin/clang++ -DAT_PER_OPERATOR_HEADERS -DCAFFE2_BUILD_MAIN_LIB -DGFLAGS_IS_A_DLL=0 -DGLOG_CUSTOM_PREFIX_SUPPORT -DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_POSIX_FALLOCATE=1 -DHAVE_SHM_OPEN=1 -DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS -DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx -DPROTOBUF_USE_DLLS -DROCM_VERSION=70200 -DTORCH_HIP_VERSION=702 -DUSE_DISTRIBUTED -DUSE_EXTERNAL_MZCRC -DUSE_LAYERNORM_FAST_RECIPROCAL -DUSE_ROCM -DUSE_RPC -D_FILE_OFFSET_BITS=64 -D__HIP_PLATFORM_AMD__ -Dtorch_cpu_EXPORTS -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0 -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/moodycamel -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/api/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src/TH -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0_build/caffe2/../aten/src -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/headeronly -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/miniz-3.0.2 -I/usr/include/kineto -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/c10/.. -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/include -I/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/aten/src/ATen/native/quantized/cpu/qnnpack/src -isystem /usr/include/eigen3 -isystem /usr/include/rocblas -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/INTERFACE -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/third_party/concurrentqueue -isystem /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/caffe2  -O2 -pipe -glldb -Wno-deprecated-declarations -Wno-unused-result -Wno-unused-value -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DUSE_FBGEMM -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -DC10_NODEPRECATED -Wall -Wextra -Werror=non-virtual-dtor -Werror=braced-scalar-init -Werror=range-loop-construct -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-unknown-pragmas -Wno-unused-parameter -Wno-strict-overflow -Wno-strict-aliasing -Wvla-extension -Wsuggest-override -Wnewline-eof -Winconsistent-missing-override -Winconsistent-missing-destructor-override -Wno-pass-failed -Wno-error=old-style-cast -Wconstant-conversion -Qunused-arguments -faligned-new -fno-math-errno -fno-trapping-math -Werror=format -DHAVE_AVX512_CPU_DEFINITION -DHAVE_AVX2_CPU_DEFINITION -fPIC -fcolor-diagnostics -Wall -Wextra -Wdeprecated -Wunused -Wno-unused-parameter -Wno-missing-field-initializers -Wno-array-bounds -Wno-unknown-pragmas -Wno-strict-overflow -Wno-strict-aliasing -Wmove -fvisibility=hidden -Wmissing-prototypes -Werror=missing-prototypes -fopenmp=libomp -MD -MT caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o -MF caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o.d -o caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/autograd/profiler_kineto.cpp.o -c /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp
In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/autograd/profiler_kineto.cpp:12:
In file included from /tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/collection.h:20:
/tmp/portage/sci-ml/caffe2-2.11.0-r1/work/pytorch-2.11.0/torch/csrc/profiler/kineto_shim.h:15:10: fatal error: 'ActivityType.h' file not found
   15 | #include <ActivityType.h>
      |          ^~~~~~~~~~~~~~~~
1 error generated.

CMakeFile flags:

--     USE_ROCM_CK_SDPA              : OFF
--     USE_ROCM_CK_GEMM              : ON
--     USE_LAYERNORM_FAST_RECIPROCAL : ON
--   BUILD_NVFUSER         : 
--   USE_EIGEN_FOR_BLAS    : 
--   USE_EIGEN_FOR_SPARSE  : OFF
--   USE_FBGEMM            : ON
--   USE_MSLK              : OFF
--   USE_KINETO            : no
--   USE_GFLAGS            : ON
--   USE_GLOG              : ON
--   USE_LITE_PROTO        : OFF
--   USE_PYTORCH_METAL     : OFF
--   USE_PYTORCH_METAL_EXPORT     : OFF
--   USE_MPS               : OFF
--   CAN_COMPILE_METAL     : 
--   USE_MKL               : 
--   USE_MKLDNN            : no
--   USE_PRIORITIZED_TEXT_FOR_LD : OFF
--   USE_UCC               : OFF
--   USE_ITT               : OFF
--   USE_XCCL              : OFF
--   USE_NCCL              : no
--   Found NVSHMEM         : 
--   USE_NNPACK            : no
--   USE_NUMPY             : ON
--   USE_OBSERVERS         : ON
--   USE_OPENCL            : no
--   USE_OPENMP            : yes
--   USE_MIMALLOC          : no
--   USE_VULKAN            : OFF
--   USE_PROF              : OFF
--   USE_PYTORCH_QNNPACK   : yes
--   USE_XNNPACK           : yes
--   USE_DISTRIBUTED       : yes
--     USE_MPI               : no
--     USE_GLOO              : no
--     USE_GLOO_WITH_OPENSSL : OFF
--     USE_GLOO_IBVERBS      : OFF
--     USE_TENSORPIPE        : no
--   Public Dependencies  : 
--   Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;pytorch_qnnpack;XNNPACK;microkernels-prod;fbgemm;fp16;caffe2::openmp;onnx_proto;onnx;rt;fmt;dl
--   Public CUDA Deps.    : 
--   Private CUDA Deps.   : 
--   USE_COREML_DELEGATE     : OFF
--   BUILD_LAZY_TS_BACKEND   : ON
--   USE_ROCM_KERNEL_ASSERT : OFF

I do understand it fails looking for Kineto's ActivityType.h, but this shouldn't happen if I'm disabling Kineto, am I wrong?

Versions

Collecting environment information... PyTorch version: 2.10.0a0 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 7.2.53210

OS: linux (x86_64) GCC version: (Gentoo 15.2.1_p20260214 p5) 15.2.1 20260214 Clang version: 22.1.2+libcxx CMake version: version 4.3.1 Libc version: glibc-2.43

Python version: 3.13.12 (main, Feb 6 2026, 12:19:12) [Clang 21.1.8+libcxx ] (64-bit runtime) Python platform: Linux-6.19.9-dist-x86_64-AMD_RYZEN_AI_MAX+_395_w-_Radeon_8060S-with-glibc2.43 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: GPU models and configuration: Radeon 8060S Graphics (gfx1151) Nvidia driver version: Could not collect cuDNN version: Could not collect Is XPU available: False HIP runtime version: 7.2.53210 MIOpen runtime version: 3.5.1 Is XNNPACK available: True Caching allocator config: N/A

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 48 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 32 On-line CPU(s) list: 0-31 Vendor ID: AuthenticAMD Model name: AMD RYZEN AI MAX+ 395 w/ Radeon 8060S CPU family: 26 Model: 112 Thread(s) per core: 2 Core(s) per socket: 16 Socket(s): 1 Stepping: 0 Frequency boost: enabled CPU(s) scaling MHz: 41% CPU max MHz: 5187.5000 CPU min MHz: 625.0000 BogoMIPS: 5990.82 Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good amd_lbr_v2 nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpuid_fault cpb cat_l3 cdp_l3 hw_pstate ssbd mba perfmon_v2 ibrs ibpb stibp ibrs_enhanced vmmcall fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local user_shstk avx_vnni avx512_bf16 clzero irperf xsaveerptr rdpru wbnoinvd cppc arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif x2avic v_spec_ctrl vnmi avx512vbmi umip pku ospke avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg avx512_vpopcntdq rdpid bus_lock_detect movdiri movdir64b overflow_recov succor smca fsrm avx512_vp2intersect flush_l1d amd_lbr_pmc_freeze Virtualization: AMD-V L1d cache: 768 KiB (16 instances) L1i cache: 512 KiB (16 instances) L2 cache: 16 MiB (16 instances) L3 cache: 64 MiB (2 instances) NUMA node(s): 1 NUMA node0 CPU(s): 0-31 Vulnerability Gather data sampling: Not affected Vulnerability Ghostwrite: Not affected Vulnerability Indirect target selection: Not affected Vulnerability Itlb multihit: Not affected Vulnerability L1tf: Not affected Vulnerability Mds: Not affected Vulnerability Meltdown: Not affected Vulnerability Mmio stale data: Not affected Vulnerability Old microcode: Not affected Vulnerability Reg file data sampling: Not affected Vulnerability Retbleed: Not affected Vulnerability Spec rstack overflow: Mitigation; IBPB on VMEXIT only Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB conditional; STIBP always-on; PBRSB-eIBRS Not affected; BHI Not affected Vulnerability Srbds: Not affected Vulnerability Tsa: Not affected Vulnerability Tsx async abort: Not affected Vulnerability Vmscape: Mitigation; IBPB on VMEXIT

Versions of relevant libraries: [pip3] mypy==1.19.1 [pip3] mypy_extensions==1.1.0 [pip3] numpy==2.4.4 [pip3] onnx==1.20.1 [pip3] torch==2.10.0 [pip3] torchaudio==2.10.0 [pip3] torchvision==0.25.0 [pip3] triton==3.6.0 [conda] Could not collect

cc @malfet @seemethere @robieta @chaekit @guotuofeng @guyang3532 @dzhulgakov @davidberard98 @briancoutinho @sraikund16 @sanrise @mwootton @divyanshk @jiannanWang @scotts @ryanzhang22

extent analysis

TL;DR

The compilation error is caused by a missing ActivityType.h file, which is part of the Kineto library, even though Kineto is supposedly disabled.

Guidance

  • Verify that the USE_KINETO flag is indeed set to no or OFF in the CMake configuration.
  • Check if there are any other dependencies or libraries that might be pulling in Kineto, causing the compilation error.
  • Consider manually removing any Kineto-related includes or dependencies from the code to ensure it's not being used.
  • If the issue persists, try cleaning and re-running the CMake configuration to ensure that the USE_KINETO flag is properly applied.

Example

No code snippet is provided as the issue seems to be related to the build configuration rather than the code itself.

Notes

The fact that Kineto is disabled but still causing issues suggests that there might be a misconfiguration or a hidden dependency that's pulling it in. Further investigation into the build process and dependencies is needed to resolve the issue.

Recommendation

Apply a workaround by manually removing any Kineto-related includes or dependencies from the code and re-running the CMake configuration to ensure that the USE_KINETO flag is properly applied. This should help resolve the compilation error until the root cause of the issue is identified and fixed.

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